Supply chain & operations
Connect the operational data behind every plan
Pull together ERP, inventory, and supplier data, turn documents into rows, and harmonize it all into demand and supply planning.
At a glance
Typical sources
- ERP & inventory systems
- Supplier portals & files
- Documents and PDFs
- Planning models
The outcome
Harmonized operational data for demand and supply planning.
The challenge
What slows the work down today
Operational data is everywhere
Orders sit in the ERP, stock sits in the warehouse system, and supplier terms arrive as files and email attachments. Nothing speaks the same language.
Documents have to be re-keyed
Supplier confirmations and invoices come as PDFs that get typed back into spreadsheets by hand, slowly and with errors.
Plans are only as good as the inputs
Demand and supply planning depend on reconciling all of this into one consistent view, on a cadence the business can actually keep.
How it works
The same trusted flow, applied to your data
Connect, transform, map, review. Each step is guided by a no-code copilot, and you approve the plan before anything runs.
- 01
Connect
Connect ERP, inventory, and supplier systems through their specs, plus cloud storage and SFTP for the files that arrive on a schedule.
- 02
Transform
Parse supplier PDFs and document tables into clean, typed rows, then aggregate and enrich them in plain English.
- 03
Map
Align item, location, and vendor codes across systems to the structure your planning model expects.
- 04
Review
Confirm the harmonized result with lineage and audit history before it feeds demand and supply planning.
A frontier model reasons about your intent while the Nexadata engine does the work, deterministically. Raw data never leaves the platform.
Typical sources
Connect what you already run
Structured, semi-structured, or trapped in a document, Nexadata reaches it. If a system has an OpenAPI or OData spec, the Connector Copilot can reach it.
From scattered inputs to one operational view
Turn the documents, exports, and portal data behind your supply chain into a single harmonized dataset, refreshed deterministically instead of re-keyed every week.
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Start free with your first use case, or talk to us about your stack.